Design with Artificial Intelligence based Processes 2

Zeynep Aksöz Balzar
Architecture, Architecture
2024S, scientific seminar (SEW), 4.0 ECTS, 2.0 semester hours, course number S03524

Description

This course offers an in-depth exploration into the pioneering role of artificial intelligence (AI) in the design realm, highlighting its emergence as a significant force within the creative industry. As we venture into relatively unexplored territories of AI applications, the course recognizes AI's potential to revolutionize design creativity through fostering an unprecedented collaboration between human intellect and computational power, thereby unlocking novel design frontiers. However, this avant-garde approach demands a thorough understanding of the underlying technology and a careful recalibration of design methodologies to align with the dynamic nature of AI advancements.

Structured to provide a comprehensive blend of theoretical insights and hands-on experience, the curriculum aims to empower students with a profound understanding of AI's transformative effects on design processes. This term, we place a concentrated focus on critically analyzing the biases and constraints associated with Large Language Models (LLMs). Through the creation of a COMIC, originally conceptualized by Zeynep Aksöz, participants will delve into the realms of world-building, storytelling, narrative development, and storyboarding. Each session is designed to be a collaborative effort where students collectively forge a narrative. Engaging discussions will punctuate the storytelling process, facilitating a deep dive into the exploration of different LLMs to uncover their visual and narrative development limitations.

Assignments are crafted to encourage students to intricately illustrate stories using AI, followed by a critical examination of the results within a cultural framework. This approach not only enhances their storytelling and visual communication skills but also fosters a critical understanding of AI's capabilities and limitations in a design context.

Examination Modalities

Week 1: Introduction to AI in Design

  • In-class (2 hours): Overview of AI in the creative industry, exploring its potential and current use cases.
  • Outside-class (25 hours): Preparatory reading on AI basics and its application in design. We will be reading and discussing several  articles and papers on AI.
Weeks 2-3: Fundamentals of AI and Large Language Models
  • In-class (4 hours total): Deep dive into AI technologies, focusing on Large Language Models and their impact on design.
  • Outside-class (25 hours): Research and report on a specific LLM's capabilities and limitations.
Weeks 4-5: World Building and Storytelling with AI
  • In-class (4 hours total): Introduction to world building and storytelling in design, using AI tools for creative exploration.
  • Outside-class (25 hours): Create a basic narrative and world concept utilizing AI, focusing on initial storyboarding and concept development.
Weeks 6-8: Development of COMIC Project
  • In-class (6 hours total): Workshops on narrative development, advanced storyboarding, and integrating AI in design processes.
  • Outside-class (25 hours): Develop the COMIC project, emphasizing storytelling, character development, and visual style.
Weeks 9-10: Critique and Refinement
  • In-class (4 hours total): Peer reviews and instructor feedback sessions on the COMIC projects.
  • Outside-class: Refine projects based on feedback, focusing on narrative depth and visual appeal.
Weeks 11-12: Exploring Biases and Limitations
  • In-class (4 hours total): Discussions on the biases and limitations of LLMs, and how they impact creative work.
  • Outside-class: Analyze and critique the use of AI in your project, identifying biases and proposing solutions.
Weeks 13-14: Final Presentations and Course Wrap-up
  • In-class (4 hours total): Final presentations of COMIC projects. Discussion on the future of AI in design and creative industries.
  • Outside-class: Prepare final presentation and write a reflective essay on the learning journey and project process.
Additional Outside-Class Time Allocation:
  • Research and Development: Students should dedicate time to ongoing research, project development, and experimentation with AI tools.
  • Project Refinement: Allocate time for refining the project based on peer and instructor feedback.
  • Self-Study: Engage in self-study to better understand AI technologies and design methodologies.

Comments

The course is every Friday from 09:00 - 11:00

Key Words

machine learning, Artificial intelligence, architecture, comic, storyboard, collage, film, design

Dates

08 March 2024, 09:00–11:00
15 March 2024, 09:00–11:00
22 March 2024, 09:00–11:00
12 April 2024, 09:00–11:00
19 April 2024, 09:00–11:00
24 April 2024, 09:00–12:00
03 May 2024, 09:00–12:00
10 May 2024, 09:00–11:00
17 May 2024, 09:00–11:00
24 May 2024, 09:00–11:00
31 May 2024, 09:00–11:00
07 June 2024, 09:00–11:00
14 June 2024, 09:00–11:00

Course Enrolment

From 12 February 2024, 09:00 to 05 March 2024, 23:00
Via online registration

Architecture (Master): Expertise: Instrumentarium: Supplementary Subjects 443/004.99

Cross-Disciplinary Strategies (Master): Study Areas 1-3: Study Area 2: Science and Technology 569/020.02

Co-registration: possible

Attending individual courses: possible